@inproceedings{a2c4046b4b064a288d967d069dedb3a5,
title = "Personalized grade prediction: A data mining approach",
abstract = "To increase efficacy in traditional classroom courses as well as in Massive Open Online Courses (MOOCs), automated systems supporting the instructor are needed. One important problem is to automatically detect students that are going to do poorly in a course early enough to be able to take remedial actions. This paper proposes an algorithm that predicts the final grade of each student in a class. It issues a prediction for each student individually, when the expected accuracy of the prediction is sufficient. The algorithm learns online what is the optimal prediction and time to issue a prediction based on past history of students' performance in a course. We derive demonstrate the performance of our algorithm on a dataset obtained based on the performance of approximately 700 undergraduate students who have taken an introductory digital signal processing over the past 7 years. Using data obtained from a pilot course, our methodology suggests that it is effective to perform early in-class assessments such as quizzes, which result in timely performance prediction for each student, thereby enabling timely interventions by the instructor (at the student or class level) when necessary.",
keywords = "Data mining, Digital signal processing education, Forecasting algorithms, Grade prediction, Online learning",
author = "Yannick Meier and Jie Xu and Onur Atan and {Van Der Schaar}, Mihaela",
year = "2016",
month = jan,
day = "5",
doi = "10.1109/ICDM.2015.54",
language = "English (US)",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "907--912",
editor = "Charu Aggarwal and Zhi-Hua Zhou and Alexander Tuzhilin and Hui Xiong and Xindong Wu",
booktitle = "Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015",
note = "15th IEEE International Conference on Data Mining, ICDM 2015 ; Conference date: 14-11-2015 Through 17-11-2015",
}